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BROAD JOB FUNCTIONS
Regular
Cafeteria Operation and Management
Employee Transport Management
Janitorial Management
Irregular
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Official account of Jobstore.
RESPONSIBILITIES
Performs general preventive maintenance and corrective repair of buildings, industrial systems, equipment and grounds. Working under close supervision, assists in monitoring building system operations and performance. Utilizes several trade skills such as carpentry, plumbing, electrical, painting, roofing, heating and cooling.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Complies with all applicable codes, regulations, governmental agency and Company directives related to building operations and work safety.
Performs assigned day-to-day repairs, emergency and preventive maintenance. Completes maintenance and repair records as required.
Reviews assigned work orders. Estimates time and materials needed to complete repair. Orders necessary materials and supplies to complete all tasks.
Assists with installation and modification of building equipment systems.
Assists with troubleshooting and repairs of buildings and installed systems to include: plumbing systems, kitchen equipment, roofs, drains, shop, and HVAC.
Inspects new installation for compliance with building codes and safety regulations.
Maintains lighting systems throughout the facility, cleaning fixtures and replacing bulbs and lamps.
Maintains grounds of facility or property performing such tasks as raking, sweeping, leaf blowing or snow removal.
Performs welding, carpentry, furniture assembly and locksmith tasks as needed.
Responds quickly to emergency situations, summoning additional assistance as needed.
Performs other duties as assigned.
SUPERVISORY RESPONSIBILITIES
No formal supervisory responsibilities in this position.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION and EXPERIENCE
High school diploma or general education degree (GED) and a minimum of one year of related experience and/or training.
CERTIFICATES and/or LICENSES
May require valid driver's license.
COMMUNICATION SKILLS
Ability to comprehend and interpret instructions, short correspondence, and memos and ask clarifying questions to ensure understanding. Ability to write routine reports and correspondence. Ability to respond to common inquiries or complaints from clients, co-workers, and/or supervisor.
FINANCIAL KNOWLEDGE
Ability to calculate simple figures such as percentages.
REASONING ABILITY
Ability to understand and carry out general instructions in standard situations. Ability to solve problems in standard situations. Requires basic analytical skills.
OTHER SKILLS and ABILITIES
Uses personal computer and / or PDA for work order system, email, ESS and training. Basic skills with Microsoft Office Outlook. Physical requirements include stooping, standing, walking, climbing stairs / ladders and ability to lift / carry heavy loads of 50 lbs. or more.
SCOPE OF RESPONSIBILITY
Decisions made with general understanding of procedures and company policies to achieve set results and deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.
SAFETY
Responsible for personal safety and the safety of those who are affected by your work. This includes but is not limited to:
1. Complete all required and assigned HSE training at a satisfactory level,
2. Follow all activity policies and procedures, including all HSE-related requirements at all times,
3. Participate in all HSE-related programs & activities as required, including incident investigations, interviews, auditing and assessment, etc.
4. Report any conditions which you feel could result in an accident or injury and / or stop work if required.
Official account of Jobstore.
Official account of Jobstore.
Official account of Jobstore.
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.
Why Join Us
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.
Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services. We are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of TikTok in the world, we are working on building a next-generation content understanding system for TikTok monetization. We are seeking machine learning engineers at all levels experienced in machine learning, which can help us create an ecosystem that rewards high quality user experience and advertiser value.
Responsibilities:
1. Be responsible for content understanding of commercial products, such as ads, e-commerce, short video, and live streaming.
2. Be responsible for data mining, feature engineering, and building scalable machine learning models to establish monetization ecology.
3. Optimize computational efficiency and improve stability of machine learning models to deal with billion scale business data.
4. Based on business data, explore and implement various cutting-edge technologies, such as pre-training, self-supervised learning, few-shot learning, etc.
5. Explore state-of-the-art AIGC techniques and build a new generation of AIGC-based monetization ecology systems.
Qualifications
1. Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields.
2. Have a solid foundation with common machine learning related techniques and algorithms (e.g. classification, clustering, regression, etc.). Be proficient with at least one deep learning framework (e.g. PyTorch,TensorFlow).
3. Related experience in at least one of the following areas
- Be familiar with computer vision related tasks. Have rich experience in at least one aspect, such as image/video classification, object detection, image/video retrieval, OCR, image segmentation, etc.
- Be familiar with NLP-related tasks. Have experience in at least one aspect, such as text classification, semantic analysis, sentiment analysis, NER, etc.
- Be familiar with audio-related tasks. Have experience in at least one aspect, such as ASR, AED, LID, etc.
- Be familiar with multimodal machine learning, large-scale multimodal pre-training, etc.
- Be familiar with the theory and application of graph networks, knowledge graphs, and have relevant experience.
- Be familiar with model acceleration techniques such as pruning, quantization, distillation, etc.; Have relevant experience in deploying models using frameworks such as TensorRT.
4. Solid programming foundation. Be familiar with basic data structures and algorithms.
5. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills. Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability.
6. Having published papers in top AI conferences or journals (CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.) is a plus.
7. Being familiar with generative models is a plus, such as GPT, Stable Diffusion, etc.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
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TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.
Why Join Us
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.
Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services. We are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of TikTok in the world, we are working on building a next-generation content understanding system for TikTok monetization. We are seeking machine learning engineers at all levels experienced in machine learning, which can help us create an ecosystem that rewards high quality user experience and advertiser value.
Responsibities:
1. Conduct cutting-edge research in machine learning, computer vision or natural language processing.
2. Support and incubate products with machine learning, especially state-of-the-art AIGC techniques such as GPT, Stable Diffusion, etc.
Qualifications
1. Ph.D. degree in Computer Science, Computer Engineering or other relevant majors.
2. Rich research experience in but not limited to the following areas (as the first author of published papers at CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.)
- Image/video search, classification, and recognition
- Object detection, segmentation, and tracking
- Representation learning (multi-modality, pre-training, vision transformer, etc.)
- OCR
- Image/video/multimodal generative models
- Large language models
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
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VACANCY: ELECTRICAL MAINTENANCE ENGINEER
LOCATION: MIRFIELD, WEST YORKSHIRE
SHIFT PATTERN: 2 DAYS, 2 NIGHTS, 4 OFF
SALARY: £42000 - £48000
Our Client
Our client is a highly successful and growing business based in the heart of West Yorkshire.
As part of this continued growth, they seek an experienced, Electrically biased Maintenance Engineer to join their existing team.
The role
In the role of Electrical Maintenance Engineer, you will work both proactively and reactively to minimise downtime and maximise efficient working time within a factory environment, where you will be required to monitor, maintain and repair a variety of production machinery.
Duties include:
• Proactive and reactive maintenance of production machinery
• Follow a "CLEAN AS YOU GO" process
• Participate in Continuous Improvement Projects
• Communicate effectively with all departments
• Prioritise workload with breakdowns taking priority over daily tasks
• Regular checks to ensure all machinery running effectively
• Carry out electrical checks and diagnose faults
• This is not an exhaustive list
About you
• Time served Electrical Engineer or have C&G or equivalent qualification
• PLC fault finding ability
• Able to read schematic diagrams
• Knowledge of hydraulic & pneumatic systems
• Manage daily activity via CMMS
• Follow Health and Safety guidelines at all times
In return the successful Electrical Maintenance Engineer will receive a competitive salary and benefits package coupled with the peace of mind that they are joining a highly successful company.
For more information APPLY TODAY
Aqumen Business Solutions is acting as an Employment Business in relation to this vacancy.
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An ophthalmic lens manufacturer based in South Wales are looking to recruit a full time Optical Glazing Technician. The lab supplies premium lenses into independent opticians all across the UK and is renowned for their quality, efficient service and product ranges.
Optical Glazing Technician - Key Tasks & Responsibilities
Optical Glazing Technician - Requirements
This is a full time role working Monday to Friday from 7am to 4pm
Salary will be depending on experience.23-35K
To apply for this role please send a copy of your CV or call 0114 238 1726 for more information.
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A leading lens manufacturer based in South Gloucestershire are looking to recruit a full time Optical Glazing Technician. The company has an excellent reputation for supplying high quality lenses into Opticians all across the UK.
The Role
Requirements
They currently have two different shift patterns available;
Mon to Fri - 8am to 4pm - £24,500 plus 6% bonus
Mon to Fri - 6am to 2pm, 2pm to 10pm - Bi weekly- £23,500 plus shift allowance (£2040) + 6% bonus
The odd Sat is available and paid as overtime.
Free parking available.
To apply for this role please send a copy of your CV or call 0114 238 1726 for more information.
You can now message us via our company WhatsApp - 07933115681
Feel free to get in contact about any roles/recruitment needs.
https://lnkd.in/dGyVayep
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Job Scope:
Requirements:
• 3 to 5 years of working experience in related field.
• Good knowledge of audio visual, video conferencing and digital audio recording systems.
• Good organisational, communication and interpersonal skills.
• Adaptable to changes.
• Good time management with the ability to multi-task well.
• Proactive and able to work independently as well as in a team.
Contract Duration: 1 year
Salary: $4800 - $5100 / month
Working hours:
Mon to Thur : 8.30 am to 6.00 pm
Fri : 8.30 am to 5.30 pm
Work Venue : Clarke Quay
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VACANCY: MULTI SKILLED MAINTENANCE ENGINEER
LOCATION: GOOLE, EAST YORKSHIRE
WORKING HOURS: MON – FRI, FLEXIBLE 8HOUR SHIFT BETWEEN HOURS OF 06:00 - 18:00
SALARY: £35000 - £45000
AQUMEN Recruitment is proud to be in partnership with a highly successful manufacturing business within the food industry to secure the services of a skilled Multi Skilled Maintenance Engineer to help drive the team forward.
As part of their plans for a successful future, our client is looking for a Multi Skilled Maintenance Engineer to support with the maintenance, repairs, and fault find on plant machinery.
Key Responsibilities of the Maintenance Engineer:
• Maintain a safe working environment for yourself and others.
• Be proactive in the raising of potential health and safety issues and the development of personal safety awareness.
• General site maintenance.
• Ensure all machines are in a safe working order.
• Carry out maintenance activities on site through effective planned maintenance routines and timely response to unplanned breakdowns.
The above is not an exhaustive list and other responsibilities are shown on the full job description.
Requirements
• You will have qualifications or be apprentice trained in Electrical or Mechanical Engineering.
• You must have some flexibility regarding work as may need to support during bank holidays and weekends.
• You must have basic IT skills.
• Experience/knowledge of working with heavy machinery.
• PLC/Scada experience/knowledge preferred.
Working hours
Hours are flexible, 8hour shift between 6am – 6pm.
This is an opportunity to join a truly great business that can offer stability and personal development.
For further information APPLY NOW
Aqumen Business Solutions is acting as an Employment Business in relation to this vacancy.
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Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology, education services, and learning management solutions to education and faith-based organizations, serving more than 1,300 higher education institutions, 11,500 K-12 schools, 3,500 churches, and millions of individual students, families, and supporters across the globe. Our culture of service enables us to form long-lasting and trusted partnerships, while our focus on creativity and innovative solutions empowers our customer communities to thrive.
As a Nelnet company, the perks at NBS go beyond our benefits package. You’re part of a community, invested in you as an individual and united by our mission to create opportunities for people where they live, learn and work.
The Senior Machine Learning Engineer actively contributes to the technical design, development, and deployment of machine learning applications, leveraging both established and emerging technologies. Primary tasks include designing machine learning architectures, coding and reviewing models and applications, and ensuring high availability and performance of our machine learning solutions.
JOB RESPONSIBILITIES:
1. Partner with Product and Data Solutions teams to design, build, and deliver machine learning models and components to address business challenges.
2. Address complex problems by writing and testing application code, developing and validating machine learning models, and automating tests and deployment.
3. Retrain, maintain, and monitor models in production.
4. Utilize existing or build cloud-based architectures and technologies to deliver optimized machine learning models at scale.
5. Implement code management practices to minimize vulnerabilities, ensure models are well-governed from a risk perspective, and adhere to machine learning best practices in Responsible and Explainable AI.
6. Educate and communicate complex AI concepts and solutions to technical and non-technical audiences.
EDUCATION:
Bachelor’s in Computer Science, Machine Learning, Artificial Intelligence, or a related field
EXPERIENCE:
1. Minimum of 3 years of experience in machine learning engineering or related roles.
2. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
3. Experience in deploying machine learning models in production environments.
COMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES:
1. Passion for learning new AI skills.
2. Drive to experiment and innovate, as well as the ability to stay updated on the latest developments in the AI field.
3. Proficiency in rapid Prototyping tools and experimentation aids.
4. Excellent communication and interpersonal skills to build relationships across the organization.
5. Initiative to drive positive outcomes and set high standards.
6. Strong critical thinking, analytical and quantitative problem-solving ability.
7. Ability to adapt quickly to change and thrive in an ever-evolving environment.
8. Strong organization, time management and coordination skills to drive projects to completion.
9. Proficiency in programming languages and in the use of machine learning frameworks (TensorFlow, PyTorch or scikit-learn).
10. Strong expertise in deep learning frameworks and architectures.
11. Excellent skills in data manipulation, preprocessing, and feature engineering.
12. Strong knowledge of data management processes for large-scale datasets.
13. Ability to lead end-to-end development of new products.
Salary: $125,000 - $130,000
Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: LINK.
Nelnet is an Equal Opportunity Employer, complies with Executive Order 11246, and takes affirmative action to ensure that qualified applicants are employed, and that employees are treated during employment, without regard to race, color, religion/creed, national origin, gender, or sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by Federal or State law or local ordinance.
Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 or corporaterecruiting@nelnet.net.
Nelnet is a Drug Free and Tobacco Free Workplace.
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Sponsorship Available:
The University of Arkansas for Medical Sciences (UAMS) has a unique combination of education, research, and clinical programs that encourages and supports teamwork and diversity. We champion being a collaborative health care organization, focused on improving patient care and the lives of Arkansans.
UAMS offers amazing benefits and perks (available for benefits eligible positions only):
Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply link/button.
The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.
Persons must have proof of legal authority to work in the United States on the first day of employment.
All application information is subject to public disclosure under the Arkansas Freedom of Information Act.
At UAMS we value Diversity, Equity and Inclusion.
For general application assistance or if you have questions about a job posting, please contact Human Resources at askrecruitment@uams.edu.
Department's Website:
Minimum Qualifications:
Preferred Qualifications:
Additional Information:
Responsibilities:
Salary Information:
Required Documents to Apply:
Optional Documents:
Recruitment Contact Information:
Please contact askrecruitment@uams.edu for any recruiting related questions.
All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS
Please do not send to listed recruitment contact.
This position is subject to pre-employment screening (criminal background, drug testing, and/or education verification). A criminal conviction or arrest pending adjudication alone shall not disqualify an applicant except as provided by law. Any criminal history will be evaluated in relationship to job responsibilities and business necessity. The information obtained in these reports will be used in a confidential, non-discriminatory manner consistent with state and federal law.
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Proud member of the Disability Confident employer scheme
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